Framework for Pharmacy Services Quality Improvement-A Bridge to Cross the Quality Chasm.

OBJECTIVE: To review the literature on the subject of quality improvement principles and methods applied to pharmacy services and to describe a framework for current and future efforts in pharmacy services quality improvement and effective drug therapy management. BACKGROUND: The Academy of Managed Care Pharmacy produced the Catalog of Pharmacy Quality Indicators in 1997, followed by the Summary of National Pharmacy Quality Measures in February 1999. In April 2002, AMCP introduced Pharmacy's Framework for Drug Therapy Management in the 21st Century. The Framework documents include a self-assessment tool that details more than 250 specific "components" that describe tasks, behaviors, skills, functions, duties, and responsibilities that contribute to meeting customer expectations for effective drug therapy management. FINDINGS: There are many opportunities for quality improvement in clinical, service, and cost outcomes related to drug therapy management. These may include patient safety; incidence of medical errors; adverse drug events; patient adherence to therapy; attainment of target goals of blood pressure, glucose, and lipid levels; risk reduction for adverse cardiac events and osteoporotic-related fractures; patient satisfaction; risk of hospitalization or mortality; and cost of care. Health care practitioners can measure improvements in health care quality in several ways including (a) a better patient outcome at the same cost, (b) the same patient outcome at lower cost, (c) a better patient outcome at lower cost, or (d) a significantly better patient outcome at moderately higher cost. Measurement makes effective management possible. A framework of component factors (e.g., tasks) is necessary to facilitate changes in the key processes and critical factors that will help individual practitioners and health care systems meet customer expectations in regard to drug therapy, thus improving these outcomes. CONCLUSIONS: Quality improvement in health care services in the United States will be made in incremental changes that rely on a structure-process-outcome model. The structure is provided by evidence created from controlled randomized trials and other studies of care and system outcomes that are based on the scientific method. The process portion is created by the application of evidence in the form of clinical practice guidelines, clinical practice models, and self-assessment tools such as Pharmacy's Framework for Drug Therapy Management. Incremental changes in structure and process will result in the desirable outcome of meeting customer needs for more effective drug therapy and disease management. DISCLOSURES: Authors Richard N. Fry and Steven G. Avey are employed by the Foundation for Managed Care Pharmacy, a nonprofit charitable trust that serves as the educational and philanthropic arm of the Academy of Managed Care Pharmacy; author Frederic R. Curtiss performed the majority of work associated with this manuscript prior to becoming editor-in-chief of the Journal of Managed Care Pharmacy. This manuscript underwent blinded peer review and was subject to the same standards as every article published in JMCP.

[Preparing for the licence to prescribe in medical school - a questionnaire study on medical students professional confidence in the art of prescribing]. / Läkemedelsarbete behöver vara integrerat i klinisk utbildning - Att göra många läkemedelsgenomgångar ökar trygghet och reflektion över patientens behandling, visar enkätstudie.

A prerequisite for rational use of medicines is adequate prescribing skills; drug treatment is a complex task requiring diagnostic competence combined with pharmacologic knowledge and patient communication skills. Acquiring professional confidence in the art of prescribing is essential during medical training. The results of this questionnaire study, conducted in four medical schools in Sweden after the course in internal medicine (252 respondents; response rate: 74%; median age: 24 years, 61% female), show that 45% and 62% were confident in performing medication reviews and writing medication summary reports, respectively, i.e. the basics of prescribing. The confidence increased by the number of reviews and reports performed, i.e. the extent of practice (correlation coefficients: 0.41 and 0.38, respectively, both p<0.0001), as did the extent of the students' reflection on important aspects of drug treatment such as adherence, adverse reactions, renal function, dosing, and drug interactions. In multivariate regression analyses, major predictors for confidence in performing medication reviews were extent of practice and extent of clinical supervision. The results suggest that these factors are keys to acquiring professional confidence in the art of prescribing.

Evaluation of Targeted Pharmacist Interventions to Reduce Length of Stay in an Acute Care Practice Model.

BACKGROUND: Despite widespread recognition of the need for innovative pharmacy practice approaches, the development and implementation of value-based outcomes remains difficult to achieve. Furthermore, gaps in the literature persist because the majority of available literature is retrospective in nature and describes only the clinical impact of pharmacists' interventions. OBJECTIVE: Length of stay (LOS) is a clinical outcome metric used to represent efficiency in health care. The objective of this study was to evaluate the impact of pharmacist-driven interventions on LOS in the acute care setting. METHODS: A separate samples pretest-posttest design was utilized to compare the effect of pharmacist interventions across 3 practice areas (medicine, hematology/oncology, and pediatrics). Two time periods were evaluated: preimplementation (PRE) and a pilot period, postimplementation of interventions (POST). Interventions included targeted discharge services, such as discharge prescription writing (with provider cosignature). Participating pharmacists completed semistructured interviews following the pilot. RESULTS: A total of 924 patients (466 PRE and 458 POST) were included in the analysis. The median LOS decreased from 4.95 (interquartile range = 3.24-8.5) to 4.12 (2.21-7.96) days from the PRE versus POST groups, respectively ( P < 0.011). There was no difference in readmission rates between groups (21% vs 19.1%, P = 0.7). Interviews revealed several themes, including positive impact on professional development. Conclusion and Relevance: This pilot study demonstrated the ability of pharmacist interventions to reduce LOS. Pharmacists identified time as the primary barrier and acknowledged the importance of leaders prioritizing pharmacists' responsibilities. This study is novel in targeting LOS, providing a value-based outcome for clinical pharmacy services.

The Feasibility and Impact of Prospective Medication Review in the Emergency Department.

OBJECTIVE: We evaluated the feasibility and impact of prospective medication review (PMR) in the emergency department (ED). METHODS: This was a retrospective cohort study of all nonadmitted ED patients who were prescribed medication orders by ED clinicians from September 2014 to September 2015 to determine the time intervals utilized during each step of the medication use process and quantify the number of interventions conducted by the pharmacist and cost avoidance accrued from the interventions. RESULTS: A total of 834 medication orders were included for evaluation. The median time for order verification, order verification to dispense, and dispense to administration were 3 minutes (interquartile range [IQR] = 1-7 minutes), 20 minutes (IQR = 7-45 minutes), and 10 minutes (IQR = 6-16 minutes). The median time interval for order verification was longer during the overnight pharmacy shift (median = 5 minutes, IQR = 2-9 minutes) compared to the day and evening shifts (median = 3 minutes, IQR = 1-6 minutes). A total of 563 interventions were recommended by the pharmacists and accepted by ED clinicians. These interventions equated to US$47 585 worth of cost avoidance. CONCLUSION: The PMR is a feasible process that resulted in safe and effective use of medications without causing delays to patient care.

Patient-reported common symptoms as an assessment of interventions in medication reviews: a randomised, controlled trial.

Background A 'Patient-Reported Outcome Measure, Inquiry into Side Effects' (PROMISE) instrument was developed for patients to report common symptoms in clinical medication reviews. Objective To determine changes in patient-reported drug-associated symptoms collected by PROMISE before and after community pharmacist-led clinical medication reviews compared with usual care. Setting Community pharmacies in the Netherlands. Methods Patients were randomised into an intervention group (IG) and a control group (CG). PROMISE was used to collect symptoms experienced during the previous month, and any suspected drug-associated symptoms from both groups at baseline and at follow-up after 3 months. IG patients received a one-time clinical medication review, while CG patients received usual care. Main outcome measure Mean number of drug-associated symptoms at follow-up. Results Measurements were completed by 78 IG and 67 CG patients from 15 community pharmacies. Mean numbers of drug-associated symptoms per patient at follow-up were 4.0 in the IG and 5.0 in the CG, with an incident rate ratio between the groups of 0.90 (95% CI 0.62-1.33). Mean numbers of drug-associated symptoms per patient reported at follow-up and persisting since baseline were 2.1 in the IG and 2.6 in the CG, with an incident rate ratio of 0.85 (95% CI 0.43-1.42). The lowest percentages of persisting drug-associated symptoms detected in the IG were 'palpitations' and 'stomach pain, dyspepsia' while in the CG they were 'stomach pain, dyspepsia' and 'trembling, shivering'. Conclusion PROMISE provided meaningful information on drug-associated symptoms in clinical medication reviews, however the number of drug-associated symptoms was not reduced by performing clinical medication reviews compared with usual care.

A Time and Motion Study of Pharmacists and Pharmacy Technicians Obtaining Admission Medication Histories.

Pharmacists' admission medication histories (AMHs) are known to reduce adverse drug events (ADEs). Pharmacist-supervised pharmacy technicians (PSPTs) have also been used in this role. Nonetheless, few studies estimate the costs of utilizing PSPTs to obtain AMHs. We used time and motion methodology to study the time and cost required for pharmacists and PSPTs to obtain AMHs for patients at high risk for ADEs. Pharmacists and PSPTs required 58.5 (95% confidence interval [CI], 46.9-70.1) and 79.4 (95% CI, 59.1-99.8) minutes per patient, respectively (P = 0.14). PSPT-obtained AMHs also required 26.0 (95% CI, 14.9-37.1) minutes of pharmacist supervision per patient. Based on 2015 US Bureau of Labor Statistics wage data, we estimated the cost of having pharmacists and PSPTs obtain AMHs to be $55.91 (95% CI, 44.9-67.0) and $45.00 (95% CI, 29.7-60.4), respectively, which included pharmacist supervisory cost, per patient (P = 0.32). Thus, we found no statistically significant difference in time or cost between the two provider types. Journal of Hospital Medicine 2017;12:180-183.

Provision of annual wellness visits with comprehensive medication management by a clinical pharmacist practitioner.

PURPOSE: The effectiveness and financial benefit of pharmacist-led annual wellness visits (AWVs) in conjunction with comprehensive medication management (CMM) for older, high-risk patients were examined. METHODS: Eligible patients were 65 years of age or older with three or more chronic medical conditions, taking five or more long-term prescription or nonprescription medications and receiving primary care in a retirement community clinic. The intervention involved two components, an AWV and CMM. The AWV included all Medicare-required components. All participants saw a clinical pharmacist practitioner for an AWV with CMM and additional CMM visits at three and six months. Outcomes included completion of required AWV components, prevalence of medication-related problems (MRPs), classic return on investment, patient satisfaction, and change in rate of hospitalization. RESULTS: Of the 60 eligible patients contacted, 53 (88%) agreed to participate. Patients' mean ± S.D. age was 82.1 ± 5.5 years, and patients used a median of 12 medications (range, 5-27) at baseline. The pharmacist identified at least 1 MRP in 90.6% of patients at the AWV; all patients had at least 1 MRP identified over six months. A total of 278 MRPs were identified: suboptimal drug (32.7%), insufficient therapeutic monitoring (25.2%), undertreatment of chronic condition (16.9%), and suboptimal dose, frequency, or administration (15.8%). Revenue generated by the pharmacist exceeded costs by 38.1%. The rate of hospitalizations did not significantly change after the intervention. CONCLUSION: Pharmacists played a beneficial role in the provision of both AWVs and CMM, facilitating the completion of wellness visits and identifying and addressing MRPs in an older, high-risk population.

Pharmacy led medicine reconciliation at hospital: A systematic review of effects and costs.

BACKGROUND: Transition of patients care between settings presents an increased opportunity for errors and preventable morbidity. A number of studies outlined that pharmacy-led medicine reconciliation (MR) might facilitate safer information transfer and medication use. MR practice is not well standardized and often delivered in combination with other health care activities. The question regarding the effects and costs of pharmacy-led MR and the optimum MR practice is warranted of value. OBJECTIVES: To review the evidence for the effects and costs/cost-effectiveness of complete pharmacy-led MR in hospital settings. METHODS: A systematic review searching the following database was conducted up to the 13th December 2015; EMBASE & MEDLINE Ovid, CINAHL and the Cochrane library. Studies evaluating pharmacy-led MR performed fully from admission till discharges were included. Studies evaluated non-pharmacy-led MR at only one end of patient care or transfer was not included. Articles were screened and extracted independently by two investigators. Studies were divided into those in which: MR was the primary element of the intervention and labeled as "primarily MR" studies, or MR combined with non-MR care activities and labeled as "supplemented MR" studies. Quality assessment of studies was performed by independent reviewers using a pre-defined and validated tool. RESULTS: The literature search identified 4065 citations, of which 13 implemented complete MR. The lack of evidence precluded addressing the effects and costs of MR. CONCLUSIONS: The composite of optimum MR practice is not widely standardized and requires discussion among health professions and key organizations. Research focused on evaluating cost-effectiveness of pharmacy-led MR is lacking.

High Prevalence of Medication Discrepancies Between Home Health Referrals and Centers for Medicare and Medicaid Services Home Health Certification and Plan of Care and Their Potential to Affect Safety of Vulnerable Elderly Adults.

OBJECTIVES: To describe the prevalence of discrepancies between medication lists that referring providers and home healthcare (HH) nurses create. DESIGN: The active medication list from the hospital at time of HH initiation was compared with the HH agency's plan of care medication list. An electronic algorithm was developed to compare the two lists for discrepancies. SETTING: Single large hospital and HH agency in the western United States. PARTICIPANTS: Individuals referred for HH from the hospital in 2012 (N = 770, 96.3% male, median age 71). MEASUREMENTS: Prevalence was calculated for discrepancies, including medications missing from one list or the other and differences in dose, frequency, or route for medications contained on both lists. RESULTS: Participants had multiple medical problems (median 16 active problems) and were taking a median of 15 medications (range 1-93). Every participant had at least one discrepancy; 90.1% of HH lists were missing at least one medication that the referring provider had prescribed, 92.1% of HH lists contained medications not on the referring provider's list, 89.8% contained medication naming errors. 71.0% contained dosing discrepancies, and 76.3% contained frequency discrepancies. CONCLUSION: Discrepancies between HH and referring provider lists are common. Future work is needed to address possible safety and care coordination implications of discrepancies in this highly complex population.

A Health Informatics Approach to Understanding the Discharge Process.

This study characterises the inpatient discharge process for medical patients. Inpatient discharge represents a highly complex, distinct process at the point of transition to community care. It is poorly understood. Data were collected to assess the discharge patterns of 3386 patients admitted to a tertiary referral centre over a 9 day period. Individual patient parameters were extracted from an Electronic Patient Record and analysed for a random stratified sample of (n=150) with 12 months follow-up. Medical discharges represent 37% of non-elective discharges. 36% fewer medical discharges occurred at weekends (p<0.01), patients discharged at weekends were less complex. 63% of discharges had follow up plans. GP follow up was planned for 61% of single admissions compared to 32% of patients who subsequently were readmitted. Health informatics approaches are critical to improving understanding, quality and efficiency of the discharge process.

Best practice strategies to safeguard drug prescribing and drug administration: an anthology of expert views and opinions.

BACKGROUND: While evidence on implementation of medication safety strategies is increasing, reasons for selecting and relinquishing distinct strategies and details on implementation are typically not shared in published literature. OBJECTIVE: We aimed to collect and structure expert information resulting from implementing medication safety strategies to provide advice for decision-makers. SETTING: Medication safety experts with clinical expertise from thirteen hospitals throughout twelve European and North American countries shared their experience in workshop meetings, on-site-visits and remote structured interviews. METHODS: We performed an expert-based, in-depth assessment of implementation of best-practice strategies to improve drug prescribing and drug administration. MAIN OUTCOME MEASURES: Workflow, variability and recommended medication safety strategies in drug prescribing and drug administration processes. RESULTS: According to the experts, institutions chose strategies that targeted process steps known to be particularly error-prone in the respective setting. Often, the selection was channeled by local constraints such as the e-health equipment and critically modulated by national context factors. In our study, the experts favored electronic prescribing with clinical decision support and medication reconciliation as most promising interventions. They agreed that self-assessment and introduction of medication safety boards were crucial to satisfy the setting-specific differences and foster successful implementation. CONCLUSION: While general evidence for implementation of strategies to improve medication safety exists, successful selection and adaptation of a distinct strategy requires a thorough knowledge of the institute-specific constraints and an ongoing monitoring and adjustment of the implemented measures.

Concordance of Pharmacist Assessment of Medication Nonadherence With a Self-Report Medication Adherence Scale.

OBJECTIVE: To evaluate the concordance of the Modified Morisky Scale (MMS) with a pharmacist assessment of medication adherence during a medication review. METHODS: This retrospective study examined the electronic medical records (EMRs) of patients ≥18 years who received a medication review by a pharmacist from October 2008 to September 2009 at a homeless behavioral health clinic. In addition to the 6-item MMS, adherence was assessed using the first 4 items of the MMS, which comprise the original Morisky Scale. A final pharmacist assessment of adherence based upon the medication review was documented in the EMR. The McNemar test was used to assess the agreement between the MMS (6 and 4 items) and the pharmacist assessment of medication adherence. RESULTS: A total of 288 patients were eligible for the study, which included 449 medication reviews. Nonadherence was identified in 61.7% and 49.7% of medication reviews using the 6 and 4 items of the MMS. The pharmacist assessment determined nonadherence in 23.8% of medication reviews. There were significant differences between the pharmacist adherence assessment and the 6 (P < .0001) and 4 (P < .0001) items of the MMS. CONCLUSION: A combination of methods including self-report and pharmacist assessment may provide the greatest insight into adherence.

Impact of a transition-of-care pharmacist during hospital discharge.

OBJECTIVE: To assess the impact of a transition-of-care pharmacist during hospital discharge. SETTING: An academic medical center in southern Arizona. PRACTICE DESCRIPTION: One pharmacist coordinated patient discharges in two inpatient units from August 2012 through July 2013. The pharmacist attended interdisciplinary discharge coordination meetings, ensured appropriate discharge orders, facilitated the filling of medications, and educated patients on discharge medications. PRACTICE INNOVATION: The implementation of a transition-of-care pharmacist to provide discharge medication reconciliation and education. MAIN OUTCOME MEASURES: Readmission rates and medication interventions made by the pharmacist at discharge. RESULTS: The pharmacist was involved in the education of 1,011 patients and performed 452 interventions. There were more readmissions per month in the control year versus the year of pharmacist involvement (median 27.5 vs. 25, P = 0.0369). Interventions made by the pharmacist to improve discharge management included starting an omitted medication (23.5%), preventing multiple discharge problems (16.4%), avoiding duplication of therapy (15.7%), correcting insurance issues related to medication coverage (12.2%), changing an improper medication dose or quantity (11.3%), changing an inappropriate prescription for a medication (5.1%), preventing a drug interaction (3.3%), and resolving other problems (12.6%). The most common medication classes involved were antimicrobial agents (9.1%), anticoagulants (8%), antihyperglycemic agents (3.8%), other drug classes (24%), and multiple drug classes (35%). CONCLUSION: A transition-of-care pharmacist is in a unique position to educate patients on hospital discharge, to intercept a substantial number of medication errors, and to resolve insurance issues that may lead to adherence problems. These improvements in care may result in reduced hospital readmission rates.

Impact of a comprehensive pharmacist medication-therapy management service.

OBJECTIVE: This proof of concept study aimed to determine whether a pharmacist-managed medication therapy management (MTM) program in a private endocrinologist physician's practice reduced healthcare services utilization and related costs 6 months after patients' discharge from an institution with a transition of care service. METHODS: Patients were included in the study if they were English-speaking, ages >18 years, had type 1 or 2 diabetes, and had a recent transition of care experience (inpatient hospital stay or emergency department/urgent care/paramedic or other acute care visit). The study had a non-randomized design where intervention patients, enrolled July 1, 2012-September 30, 2013, were administered MTM at four visits over 6 months and were compared to historical control patients with available electronic medical records from August 8, 2008 to March 15, 2012. The primary study end-point was the rate of 30-day hospital readmissions, as related to the reason for the index admission. Secondary end-points included the cumulative rate of all-cause hospitalizations, emergency department, paramedic and urgent care visits at 30, 60, 90, and 180 days post-discharge as well as imputed total costs, including prescription medication costs, at 180 days. Propensity score weights were constructed to balance covariate characteristics between the intervention and control groups. Weighted multivariate negative binomial and generalized linear regressions were used to model cumulative utilization rates and log-transformed costs, respectively. RESULTS: The intervention (n = 28) and control (n = 73) groups had 0% hospital readmissions at 30 days post-discharge. In propensity score weighted multivariate analyses, cumulative utilization rate was not different between the two groups (IRR = 1.61, p = 0.72 at 180 days) while costs in the intervention group were lower but not statistically different (cost ratio = 0.65, p = 0.13 at 180 days). CONCLUSIONS: Further studies should investigate whether the integration of pharmacists in transition of care models could reduce readmission and healthcare utilization rates post-discharge.

An end-to-end hybrid algorithm for automated medication discrepancy detection.

BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a computerized algorithm for medication discrepancy detection between patients' discharge prescriptions (structured data) and medications documented in free-text clinical notes (unstructured data); and (2) to assess the performance of the algorithm on real-world medication reconciliation data. METHODS: We collected clinical notes and discharge prescription lists for all 271 patients enrolled in the Complex Care Medical Home Program at Cincinnati Children's Hospital Medical Center between 1/1/2010 and 12/31/2013. A double-annotated, gold-standard set of medication reconciliation data was created for this collection. We then developed a hybrid algorithm consisting of three processes: (1) a ML algorithm to identify medication entities from clinical notes, (2) a rule-based method to link medication names with their attributes, and (3) a NLP-based, hybrid approach to match medications with structured prescriptions in order to detect medication discrepancies. The performance was validated on the gold-standard medication reconciliation data, where precision (P), recall (R), F-value (F) and workload were assessed. RESULTS: The hybrid algorithm achieved 95.0%/91.6%/93.3% of P/R/F on medication entity detection and 98.7%/99.4%/99.1% of P/R/F on attribute linkage. The medication matching achieved 92.4%/90.7%/91.5% (P/R/F) on identifying matched medications in the gold-standard and 88.6%/82.5%/85.5% (P/R/F) on discrepant medications. By combining all processes, the algorithm achieved 92.4%/90.7%/91.5% (P/R/F) and 71.5%/65.2%/68.2% (P/R/F) on identifying the matched and the discrepant medications, respectively. The error analysis on algorithm outputs identified challenges to be addressed in order to improve medication discrepancy detection. CONCLUSION: By leveraging ML and NLP technologies, an end-to-end, computerized algorithm achieves promising outcome in reconciling medications between clinical notes and discharge prescriptions.

Evaluation of the influence of a pharmacist-led patient-centered medication therapy management and reconciliation service in collaboration with emergency department physicians.

BACKGROUND: The implementation of the Patient Protection and Affordable Care Act is anticipated to increase the frequency of emergency department (ED) visits. Therefore, there is a critical need to improve the quality of care transitions among ED patients from ED to outpatient services.  OBJECTIVE: To evaluate the effect of systematic implementation of a pharmacist-led patient-centered approach to medication therapy management and reconciliation service (MRS) in the ED on patient utilization of available health care services. METHODS: A single institution prospective randomized cohort study with 90-day postvisit observation randomized patients into 2 groups: (1) medication therapy management reconciliation service following a patient-centered approach (MRS) or (2) usual care provided by the institution (non-MRS). To align patient enrollment with availability of other primary care services, subjects were enrolled during weekday daytime hours. Data for the 90 days before and after the index ED visit were matched in all analyses. Generalized estimating equations evaluated any primary care (PC), urgent care (UC), and ED visits during the 90 days post-index ED visit, adjusted by age and sex and weighted by survival time. Generalized linear models evaluated the average number of ED visits during that period, adjusted by age and sex and weighted by survival time. Data were analyzed for all adult patients (ADLTS), aged ≥ 18 years, and the subpopulation taking 1 or more prescribed daily medication at the time of the index ED visit (ADLTS1+)-the patients expected to receive greatest benefit from an MRS program. RESULTS: ADLTS MRS patients were 1.9 more likely than non-MRS patients to visit their PC providers (mean difference 0.15, P less than 0.001). Similarly, ADLTS1+ MRS patients were 1.5 times more likely to visit their PC providers (mean difference 0.10, P = 0.026). Although ADLT MRS patients were less likely to visit the UC, this was not significant. However, ADLTS1+ MRS patients were significantly less likely than non-MRS patients (OR = 0.5, 95% CI = 0.3-0.9) to visit the UC. No significant difference was seen in ED visits. CONCLUSIONS: The implementation of a patient-centered approach to medication therapy management and reconciliation improved the odds of patients visiting their PC providers, a positive first step in transitioning patients toward an appropriate use of PC services.

Impact of incorporating pharmacy claims data into electronic medication reconciliation.

PURPOSE: The potential value of adding pharmacy claims data to the medication history in the electronic health record (EHR) to improve the accuracy of medication reconciliation was studied. METHODS: Three medication history sources were used for this evaluation: a gold-standard preadmission medication list (PAML) created by reviewing all available medication history information, an EHR-generated PAML, and pharmacy claims data. The study population consisted of patients from the Partners Medication Reconciliation Study with medication history information available from all three medication history sources. The aggregated medication list from each medication history source was compared with the gold-standard PAML to identify and categorize missing medications, additional medications, and discrepancies in the various attributes of a medication order, including dose, route, and frequency. McNemar's test was used to compare paired proportions of medication entries across each source to the gold-standard PAMLs. RESULTS: Fifteen patients had medication histories in all three medication history sources. Medication entries across all three sources included 169 from the gold- standard PAMLs, 158 from the EHR-PAMLs, and 351 from pharmacy claims data. The EHR-PAMLs and pharmacy claims data correctly reflected 52.1% and 43.2% of the gold-standard PAMLs, respectively. Combining the EHR-PAMLs and pharmacy claims resulted in 69.2% of the gold-standard PAMLs correctly reflected (p < 0.0001). Combining these two data sources increased the accuracy of medication history by 17.1%. CONCLUSION: Combining the EHR-PAML and pharmacy claims data resulted in a significant increase in the number of medications correctly reflected in the gold-standard PAML compared with the EHR-PAML or claims data separately.